Strong foundation with comprehensive parameter schemas and detailed descriptions. All 9 tools have explicit registrations with input schemas and descriptions. Tool names follow verb_noun patterns (grok_auth_check, grok_build_delegate). Descriptions are detailed (100-400+ chars) and explain WHAT, WHEN, and side effects. Parameters are well-typed with Zod schemas and descriptions. Critical weakness: no output schemas documented, LLMs cannot infer response structure. Error handling is present but generic (json() helper returns isError boolean without recovery guidance). Security is well-handled (no secrets in params, auth pre-checks). Composition is strong, tools are single-responsibility and chainable (e.g., delegate → worktree → apply).

• Document output schemas for all tools. E.g., grok_build_delegate returns {summary: string, filesChanged: string[], sessionId?: string, worktreePath?: string, status: 'completed'|'timeout'|'grok_error'}. Include in tool description or as a separate schema field.
• Enhance error responses with recovery guidance. Instead of json(result, !result.ok), return json({...result, nextSteps: ['Try X', 'Check Y']}, !result.ok) for auth/delegation failures.
• Convert grok_build_worktree action to enum: z.enum(['list', 'diff', 'apply', 'remove', 'prune']).describe('...'). Prevents hallucinated actions.
• Add validation and documentation for grok_cli args. Either whitelist safe flags or document which flags are dangerous (--delete-all, --force-overwrite). Consider a separate tool for common queries (grok_version, grok_models) to reduce surface area.
• Remove best_of_n parameter entirely or reject it at registration time with a clear error message. Keeping deprecated params invites confusion and silent failures.